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1Z0-931-25試験の準備方法｜完璧な1Z0-931-25対応内容試験｜真実的なOracle Autonomous Database Cloud 2025 Professional模擬試験サンプル

我々社はOracle　1Z0-931-25問題集をリリースされる以来、たくさんの好評を博しました。試験に合格したお客様は「1Z0-931-25問題集のオンライン版を利用して、模擬試験を繰り返して受けました。無事試験に合格しました。Topexamから大変助かりました。」と感謝します。あなたの支持こそ我々は最も高品質のOracle　1Z0-931-25問題集を開発して努力します。

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Oracle Autonomous Database Cloud 2025 Professional 認定 1Z0-931-25 試験問題 (Q51-Q56):

質問 # 51
A Business Analyst joined your organization and wants to explore the database tools. When restoring or cloning an Autonomous Database (ADB), you must select a backup that is at least how old?

A. 24 hours
B. 2 hours
C. 5 minutes
D. 1 day

正解：A

解説：
Full Detailed In-Depth Explanation:
When restoring or cloning an Autonomous Database (ADB), Oracle enforces a minimum backup age to ensure data consistency and integrity. The official Oracle documentation specifies that backups used for these operations must be at least 24 hours old. This requirement exists because:
Backups need time to complete and stabilize, ensuring all transactions are fully committed and the backup is consistent.
Recent backups (e.g., less than 24 hours old) may still be in progress or lack full verification, risking incomplete or corrupted restores/clones.
Options B (5 minutes), C (2 hours), and D (1 day) are either too short or redundant:
5 minutes and 2 hours: Too recent, violating the 24-hour rule.
1 day: Matches 24 hours but is less precise than the explicit "24 hours" phrasing in the documentation.
For the Business Analyst's exploration, they can access tools like SQL Developer Web or Data Load via the OCI Console under the "Tools" tab, but this question focuses on the backup age constraint, making A the best answer.

質問 # 52
Which three tools can be used to monitor the usage and activities of Autonomous Database on Dedicated Infrastructure? (Choose three.)

A. OCI Metrics
B. RMAN
C. Logs
D. Enterprise Manager Cloud Control
E. Performance Hub

正解：A、D、E

解説：
Monitoring Autonomous Database on Dedicated Infrastructure involves specific tools:
Correct Answer (C): Enterprise Manager Cloud Control provides comprehensive monitoring of OCI resources, including CPU, memory, I/O, and SQL performance for dedicated deployments.
Correct Answer (D): OCI Metrics offers detailed metrics via the OCI Monitoring service, allowing custom dashboards and alerts for key performance indicators (e.g., OCPU usage, storage).
Correct Answer (E): Performance Hub is a built-in tool in Autonomous Database for analyzing historical performance data, identifying trends, and troubleshooting issues.
Incorrect Options:
A: RMAN (Recovery Manager) is for backup and recovery, not real-time monitoring of usage or activities.
B: Logs provide diagnostic data but are not a standalone monitoring tool; they require manual analysis or integration with other tools.
These tools collectively enable proactive management and optimization.

質問 # 53
Which two statements are true regarding active transactions when scaling OCPUs in an Autonomous Database? (Choose two.)

A. Scaling can happen while there are active transactions in the database
B. Active transactions are paused
C. Active transactions are terminated and rolled back
D. Active transactions continue running unaffected

正解：A、D

解説：
Scaling OCPUs in Autonomous Database is designed to be seamless. The two true statements are:
Scaling can happen while there are active transactions in the database (B): ADB supports online scaling, meaning you can increase or decrease OCPUs (e.g., from 2 to 4) via the OCI console or CLI (e.g., oci db autonomous-database update --cpu-core-count 4) without stopping the database. Active transactions (e.g., INSERT INTO orders VALUES (...)) continue running during this process. Oracle's architecture ensures the database remains available, adjusting resources in the background. For example, a web app processing orders won't notice the scaling operation starting at 10:00 AM.
Active transactions continue running unaffected (C): During scaling, existing transactions are not interrupted, terminated, or paused. They complete normally, with Oracle managing resource allocation transparently (e.g., shifting CPU usage without killing sessions). For instance, a long-running UPDATE statement started before scaling finishes successfully, leveraging the database's high-availability design. The status shows "SCALING IN PROGRESS," but users experience no downtime.
The incorrect options are:
Active transactions are terminated and rolled back (A): False. Scaling is non-disruptive; transactions aren't killed or rolled back, preserving data integrity and user experience. Termination only occurs during explicit stops or failures, not scaling.
Active transactions are paused (D): False. There's no pausing mechanism during scaling; transactions run continuously, as pausing would disrupt OLTP or analytical workloads, countering ADB's autonomous promise.
This online scaling capability is a key benefit, ensuring uninterrupted service.

質問 # 54
Which statement is FALSE about loading data into the Autonomous Database using the Data Load card in Database Actions?

A. Data can be uploaded from several cloud storage sources including S3, Azure, Google Cloud, and Oracle Object Storage
B. You must first manually create your database credentials using DBMS_CLOUD.CREATE_CREDENTIAL before accessing your Oracle Object Storage Bucket
C. Data formats supported include: text, CSV, JSON, Avro, and Parquet
D. Data can be loaded from a local data source
E. Data can be loaded from a remote database using Database Links (DBLinks)

正解：B

解説：
The Data Load card in Database Actions (within ADB's web interface) simplifies data loading. The false statement is:
You must first manually create your database credentials using DBMS_CLOUD.CREATE_CREDENTIAL before accessing your Oracle Object Storage Bucket (D): This is incorrect. The Data Load card automates credential management for Oracle Object Storage by leveraging the ADB instance's IAM permissions. When you select an OCI Object Storage bucket in the UI, it uses the instance's resource principal or user OCI credentials (e.g., from your signed-in OCI session), eliminating the need to manually run DBMS_CLOUD.CREATE_CREDENTIAL. For example, uploading sales.csv from a bucket via the Data Load card requires only bucket selection and file mapping-no PL/SQL credential setup. This automation enhances usability, contrasting with manual methods where CREATE_CREDENTIAL is needed (e.g., in SQL scripts).
The true statements are:
Data formats supported include: text, CSV, JSON, Avro, and Parquet (A): The Data Load card supports these formats, parsing them into tables using DBMS_CLOUD under the hood. E.g., a JSON file { "id": 1, "name": "John" } loads as rows.
Data can be loaded from a local data source (B): You can upload files directly from your local machine (e.g., a CSV on your desktop) via the browser interface, staging them temporarily for loading.
Data can be uploaded from several cloud storage sources including S3, Azure, Google Cloud, and Oracle Object Storage (C): The card supports these external cloud sources, requiring credentials (e.g., AWS keys), alongside native OCI Object Storage integration.
Data can be loaded from a remote database using Database Links (E): DBLinks allow pulling data from another Oracle database (e.g., INSERT INTO local_table SELECT * FROM remote_table@link), supported in the Data Load card.
The automation of credentials in D is a key differentiator for the UI-based Data Load feature.

質問 # 55
When integrating object storage with Autonomous Database, how effectively does Oracle use the files in the object storage?

A. Scan hybrid partition tables
B. Scan partition tables
C. Prune columns in CSV files
D. Prune columns in parquet files

正解：B

解説：
When Autonomous Database integrates with object storage (e.g., Oracle Cloud Infrastructure Object Storage), it optimizes data access. The correct answer is:
Scan partition tables (B): Oracle leverages partition pruning when scanning tables stored in object storage. This means it only scans the relevant partitions based on query predicates, significantly reducing I/O and improving performance. This is particularly effective for partitioned tables stored in formats like Parquet or ORC, which support partitioning.
The incorrect options are:
Prune columns in parquet files (A): While column pruning is possible with columnar formats like Parquet, the primary optimization highlighted in Oracle's documentation for object storage integration is partition pruning, not column pruning alone.
Scan hybrid partition tables (C): "Hybrid partition tables" is not a standard term in this context. Oracle supports external partitioned tables, but the focus is on scanning partitioned tables, not a hybrid-specific optimization.
Prune columns in CSV files (D): CSV files are row-based and do not natively support column pruning, making this less effective compared to partition scanning.
Partition pruning is a key optimization for external tables in object storage, enhancing query efficiency.

質問 # 56
......

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